Improvement
Improvement on Beyond Market Intelligence: a running collection of 2 stories we have gathered and hand-picked because they are worth your time. Every post here touches on improvement in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around improvement, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
Building Enterprise Agent Systems that People can Trust, Verify and Improve
Successfully deploying AI agents within enterprises demands a focus beyond initial promise. Our latest article, "Building Enterprise Agent Systems that People can Trust, Verify and Improve," outlines five critical principles distilled from experience building a system for a $100M+ company. These principles ensure agent reliability and usability in production environments. We rank these principles by impact, offering practical guidance for avoiding common pitfalls.
Constraining Output Space for SLM Narrow Automation Optimization
Optimizing narrow automation for Semantic Layer Models (SLMs) unlocks significant productivity gains. This series begins by exploring a crucial technique: constraining the output space, rather than solely relying on parsing generated text. By limiting potential outputs, we achieve greater efficiency and reliability in automated workflows. This initial article will detail how to implement this approach effectively. For broader context on navigating the evolving AI landscape, see our article, "New EU Guidelines For AI Labelling," for essential insights into regulatory considerations.